Main
Adam Rawles
Skills
R
5+ of experience both using and teaching the R programming language.
Experienced in applying various statistical methods with R
Ability to build and implement machine learning models using TensorFlow and the keras interface
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Data Analysis
Highly skilled in data presentation and reporting Extensive experience in data extraction from SQL databases and experience with database design and maintenance.
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Development
Many years of experience using development-workflow tools including Git, Github and Azure DevOps Experience creating and maintaining build and release pipelines
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Professional Experience
Data Analyst
Guernsey Financial Services Commission
Guernsey, CI
2019 - Current
- Recreated and automated the generation of various data reports using R.
- Created a Shiny-based UI for users to interact with the report generator.
- I was the lead developer for a project utilising machine-learning and advanced modelling to improve financial regulation
- Developed and implemented a tool to flag problematic documents to supervisors based on a neural-network
- Implented a completely custom R repository that utilised automatic-building tools and a RESTful API
- Further developed and delivered R training materials (teacheR and opeRate)
Graduate Data Analyst
ELEXON
London, UK
2018 - 2019
- Performance Assurance Review team
- 6 months
- Implemented a new risk simulation, utilising a Monte-Carlo methodology in R to better estimate the financial cost associated with specific risks.
- Market Analysis team
- Automated and updated market reports, allowing them to be automatically published to the ELEXON website with custom HTML widgets to allow for greater user interaction.
- Developed an R package to facilitate the extraction of energy-related data from the Balancing Mechanism Reporting Service API provided by ELEXON called BMRSr.
- First developed materials to teach R to beginners that would eventually become the teacheR and opeRate books.
Education
Cardiff University
First Class Honors - BSc. Psychology
Cardiff, UK
2014 - 2018
Project: An Evaluation of Spatial Representations of Order and the Efficacy of Online Studies
- Designed an online and lab-based version of a cognitive psychology experiment testing the relationship between actual and represented differences between items in a list.
- Extended the functionality of the developing PsychoJS software to run the experiment online.
- Analysed the difference in responses between the online and lab versions of the study as a secondary research topic.